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Sajjadur Rahman
Sajjadur Rahman
Senior Manager, AI/ML, Adobe
Verified email at adobe.com - Homepage
Title
Cited by
Cited by
Year
SeeDB: efficient data-driven visualization recommendations to support visual analytics
M Vartak, S Rahman, S Madden, A Parameswaran, N Polyzotis
Proceedings of the VLDB Endowment 8 (13), 2182-2193, 2015
390*2015
Human-llm collaborative annotation through effective verification of llm labels
X Wang, H Kim, S Rahman, K Mitra, Z Miao
Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems …, 2024
2002024
I've seen" enough" incrementally improving visualizations to support rapid decision making
S Rahman, M Aliakbarpour, HK Kong, E Blais, K Karahalios, ...
Proceedings of the VLDB Endowment 10 (11), 1262-1273, 2017
932017
MEGAnno+: A Human-LLM Collaborative Annotation System
H Kim, K Mitra, RL Chen, S Rahman, D Zhang
Proceedings of the 18th Conference of the European Chapter of the …, 2024
702024
Benchmarking Spreadsheet Systems
S Rahman, K Mack, M Bendre, R Zhang, K Karahalios, A Parameswaran
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
262020
Characterizing practices, limitations, and opportunities related to text information extraction workflows: A human-in-the-loop perspective
S Rahman, E Kandogan
Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022
242022
Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutions
P Pezeshkpour, E Kandogan, N Bhutani, S Rahman, T Mitchell, ...
Compound AI Systems Workshop at Data+AI Summit 2024, 2024
182024
Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks
A Mishra, S Rahman, H Kim, K Mitra, E Hruschka
Findings of the Association for Computational Linguistics: ACL 2024, 2023
182023
Low-resource interactive active labeling for fine-tuning language models
S Maekawa, D Zhang, H Kim, S Rahman, E Hruschka
Findings of the association for computational linguistics: EMNLP 2022, 3230-3242, 2022
182022
Cypherbench: Towards precise retrieval over full-scale modern knowledge graphs in the llm era
Y Feng, S Papicchio, S Rahman
Proceedings of the 63rd Annual Meeting of the Association for Computational …, 2025
172025
NOAH: interactive spreadsheet exploration with dynamic hierarchical overviews
S Rahman, M Bendre, Y Liu, S Zhu, Z Su, K Karahalios, ...
Proceedings of the VLDB Endowment 14 (6), 970-983, 2021
17*2021
Mixtape: Mixed-initiative team action plan creation through semi-structured notes, automatic task generation, and task classification
S Rahman, P Siangliulue, A Marcus
Proceedings of the ACM on Human-Computer Interaction 4 (CSCW2), 1-26, 2020
162020
Faster, higher, stronger: Redesigning spreadsheets for scale
M Bendre, T Wattanawaroon, S Rahman, K Mack, Y Liu, S Zhu, Y Lu, ...
2019 IEEE 35th International Conference on Data Engineering (ICDE), 1972-1975, 2019
122019
CMDBench: A Benchmark for Coarse-to-fine Multimodal Data Discovery in Compound AI Systems
Y Feng, S Rahman, A Feng, V Chen, E Kandogan
Proceedings of the Conference on Governance, Understanding and Integration …, 2024
82024
Towards transparent, reusable, and customizable data science in computational notebooks
F Choi, S Rahman, H Kim, D Zhang
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing …, 2023
82023
Demonstration of a multi-agent framework for text to sql applications with large language models
C Shen, J Wang, S Rahman, E Kandogan
Proceedings of the 33rd ACM International Conference on Information and …, 2024
72024
Leam: An Interactive System for In-situ Visual Text Analysis
S Rahman, P Griggs, Ç Demiralp
11th Annual Conference on Innovative Data Systems Research (CIDR ’21), 2021
72021
Weedle: Composable Dashboard for Data-Centric NLP in Computational Notebooks
N Kwon, H Kim, S Rahman, D Zhang, E Hruschka
Companion Proceedings of the ACM Web Conference 2023, 132-135, 2023
52023
Understanding Data Analysis Workflows on Spreadsheets: Roadblocks and Opportunities
P Yang, TC Cheng
Proceedings of Workshop on Human-In-the-Loop Data Analytics (HILDA’20)., 2020
52020
MageSQL: Enhancing In-context Learning for Text-to-SQL Applications with Large Language Models
C Shen, J Wang, S Rahman, E Kandogan
arXiv preprint arXiv:2504.02055, 2025
42025
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Articles 1–20